The University of Southampton
University of Southampton Institutional Repository

A geographical multivariable multilevel analysis of social exclusion among older people in China: evidence from the China Longitudinal Aging Social Survey ageing study

A geographical multivariable multilevel analysis of social exclusion among older people in China: evidence from the China Longitudinal Aging Social Survey ageing study
A geographical multivariable multilevel analysis of social exclusion among older people in China: evidence from the China Longitudinal Aging Social Survey ageing study

Social exclusion is increasingly considered to be a multi-faceted concept involving more than simply material disadvantage among older people. The process of social exclusion may be driven by various factors and at different levels, including individual, household, group, community, country and global levels. Using data from the 2014 China Longitudinal Aging Social Survey focusing on respondents aged over 60, we employed multivariate multilevel models to simultaneously estimate four dimensions of social exclusion among older people. The results show that the social exclusion of older people varies not only among individuals but also among provinces. From an individual perspective, older people with lower educational attainment (often illiterate), in the lowest quintile of personal income and in poor health were the most likely to be excluded. From a geographical perspective, although there are no province-level characteristics (social, economic and social security development) significantly related to the four dimensions of social exclusion, there is nevertheless significant unexplained variation for all dimensions of social exclusion at the province level. The negative relationships between exclusion from social relationships and exclusion from financial products, between subjective feeling of exclusion and social activities, and between subjective feeling of exclusion and exclusion from financial products at the provincial level indicate that a province may do well on one dimension of social exclusion but it will not automatically do well on the other dimensions.

China, geographical differences, geographical multivariable, multivariable multilevel analysis, older persons, social exclusion
0016-7398
Feng, Zhixin
33c0073f-a67c-4d8a-9fea-5a502420e589
Phillips, David R.
8a3172cd-6f9d-47a7-9c96-b82ca6f17b73
Jones, Kelvyn
0df468d5-eeec-4694-8415-352df0e2e36e
Feng, Zhixin
33c0073f-a67c-4d8a-9fea-5a502420e589
Phillips, David R.
8a3172cd-6f9d-47a7-9c96-b82ca6f17b73
Jones, Kelvyn
0df468d5-eeec-4694-8415-352df0e2e36e

Feng, Zhixin, Phillips, David R. and Jones, Kelvyn (2018) A geographical multivariable multilevel analysis of social exclusion among older people in China: evidence from the China Longitudinal Aging Social Survey ageing study. Geographical Journal. (doi:10.1111/geoj.12274).

Record type: Article

Abstract

Social exclusion is increasingly considered to be a multi-faceted concept involving more than simply material disadvantage among older people. The process of social exclusion may be driven by various factors and at different levels, including individual, household, group, community, country and global levels. Using data from the 2014 China Longitudinal Aging Social Survey focusing on respondents aged over 60, we employed multivariate multilevel models to simultaneously estimate four dimensions of social exclusion among older people. The results show that the social exclusion of older people varies not only among individuals but also among provinces. From an individual perspective, older people with lower educational attainment (often illiterate), in the lowest quintile of personal income and in poor health were the most likely to be excluded. From a geographical perspective, although there are no province-level characteristics (social, economic and social security development) significantly related to the four dimensions of social exclusion, there is nevertheless significant unexplained variation for all dimensions of social exclusion at the province level. The negative relationships between exclusion from social relationships and exclusion from financial products, between subjective feeling of exclusion and social activities, and between subjective feeling of exclusion and exclusion from financial products at the provincial level indicate that a province may do well on one dimension of social exclusion but it will not automatically do well on the other dimensions.

Text
Manuscript_TGJ_R3 - Accepted Manuscript
Download (84kB)

More information

Accepted/In Press date: 18 June 2018
e-pub ahead of print date: 28 August 2018
Keywords: China, geographical differences, geographical multivariable, multivariable multilevel analysis, older persons, social exclusion

Identifiers

Local EPrints ID: 423286
URI: http://eprints.soton.ac.uk/id/eprint/423286
ISSN: 0016-7398
PURE UUID: a77cee54-3d65-43dc-85d4-65a05bdb0194

Catalogue record

Date deposited: 20 Sep 2018 16:30
Last modified: 17 Dec 2019 05:13

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×